Top Data & Analytics Jobs

The Sr. Analyst in Master Data Management executes MDM strategies, oversees implementation, ensures data quality, and drives cross-functional collaboration.

The Quantitative Research Consultant will clean and prepare datasets, execute analytical outputs, and collaborate on data processing for research projects.

Design, build, and maintain scalable data platforms, pipelines, and Data Lakes. Implement orchestration, data integration, modeling, and database optimization. Ensure data security and governance, troubleshoot production issues, lead architecture decisions, deliver full SDLC, collaborate with product and analytics teams, and mentor engineers.

Lead a team of 4-10 data engineers to design, build, and maintain scalable ETL and data integration pipelines. Manage Agile delivery, enforce engineering best practices, optimize SQL performance, partner with analytics and product teams, drive automation, and ensure compliance with security and regulatory requirements.

Perform A/B test design and analysis, campaign and funnel analytics, and predictive modeling to inform segmentation and personalization. Translate insights into business impact and present findings to senior stakeholders; support marketing measurement and performance optimization.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance for low-latency, secure AI consumption. Partner with Applied AI, Product and Architecture, guide senior engineers, and ensure data quality, lineage, observability, and compliance for enterprise AI products.

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, and MCP servers. Ensure governance, lineage, observability, and AI-specific controls. Partner with Applied AI, Product, and Security; guide and grow a senior data engineering team while remaining hands-on to unblock technical challenges.

Lead data engineering strategy and architecture for CNPF, building lakehouse, streaming, and event-driven platforms to enable agentic AI and analytics. Deliver MCP servers, retrieval pipelines, vector stores, feature/knowledge graphs, and governance for production-scale LLM consumption. Partner with Applied AI, Product, and Architecture; ensure data quality, lineage, observability, and security; mentor senior engineers.

Conduct end-to-end qualitative and quantitative research (surveys, scripting, analysis) to generate strategic insights for clients. Manage multiple projects, collaborate cross-functionally, and produce deliverables using statistical tools and survey platforms.

Lead data engineering strategy and deliver a secure, scalable data platform for analytics and agentic AI. Architect lakehouse, streaming, retrieval, vector and feature stores, MCP servers, and governance for real-time AI consumption. Partner with Applied AI, Product, and Architecture, guide senior engineers, and ensure data quality, lineage, observability, and enterprise security for production AI systems.